The study conducted by RusFor specialists compares the accuracy of forest attribute estimates, delivered by airborne laser scanning data, conventional stand-wise forest inventory in the form of Forest Management Plan and Trestima forest inventory app. The measurements are validated by actual results of commercial harvesting, measured and registered by a harvester’s measurement system during logging.

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Trestima turned out to be the most accurate and effective in predicting preharvest stand characteristics, stand-level-wise.